Although rarely stated, in practice, Grammatical Error Correction (GEC)
...
To what extent can neural network models learn generalizations about lan...
Pre-trained multilingual language models have become an important buildi...
In implicit discourse relation classification, we want to predict the
re...
Automatically classifying the relation between sentences in a discourse ...
A neural language model trained on a text corpus can be used to induce
d...
We introduce the Helsinki Neural Machine Translation system (HNMT) and h...
Neural machine translation (NMT) approaches have improved the state of t...
This paper describes the Stockholm University/University of Groningen
(S...
In earlier work, we have shown that articulation rate in Swedish
child-d...
Most existing models for multilingual natural language processing (NLP) ...
For the purposes of computational dialectology or other geographically b...